This academic article discusses the development of a decentralized collision avoidance policy for Autonomous Surface Vehicles (ASVs). The policy is based on Distributional Reinforcement Learning (DRL), which considers the interactions…
Continue readingThis academic article introduces a new trajectory optimization strategy for mobile robots navigating in complex dynamic environments. The method generates multiple distinct evasive trajectories, which are then optimized by locally…
Continue readingThis academic article focuses on safe operations of Unmanned Aerial Vehicles (UAVs) in mission-critical and safety-critical applications. It proposes a method for collision avoidance in autonomous UAVs that are tracking…
Continue readingThe article discusses SICNav, a method for safe and interactive crowd navigation for robots. The system uses Model Predictive Control (MPC) to predict and react to human movements, avoiding collisions….
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